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Despite the rising interest in eco-innovation, few studies have examined how open innovation (OI) actually increases eco-innovation performance. Drawing on capabilities theory, this study aims to investigate how two specific organizational capabilities (alliance management capability and absorptive capacity) individually complement OI strategies (inbound and outbound) to increase eco-innovation performance, while taking into consideration high and low levels of environmental uncertainty.

To test the hypotheses, the authors used a primary survey and secondary proxy data sources from 232 Taiwan-based manufacturing firms. The authors collected survey data for measuring OI strategies, followed by secondary proxy data for measuring alliance management capability, absorptive capacity, environmental uncertainty and eco-innovation performance.

The results indicate that in highly dynamic environments, alliance management capability complements inbound/outbound strategies to increase eco-innovation performance. However, absorptive capacity complements only inbound strategies, not outbound strategies.

These findings have important implications for managers attempting to increase eco-innovation performance by using OI in dynamic environments.

The findings provide new evidence that configurations of OI alone are not enough for increasing eco-innovation performance. Instead, firms’ eco-innovation benefits more when OI are complemented by alliance management capability.

This study makes an original contribution to the eco-innovation literature by demonstrating how organizational capabilities complement OI to increase eco-innovation performance in dynamic environments.

Despite extensive published research into the relationship between open innovation (OI) activities and performance, the nature and direction of the relationship remain inconclusive. The purpose of this paper is to investigate the relationship as to how firms’ inbound and outbound OI activities, as well as their interaction influence incremental and radical innovation performance. The authors also consider the potentially mediating roles of knowledge learning and organizational capabilities in such a relationship.

To investigate this relationship, data were collected from a cross-industry survey of 304 leading Taiwanese-based firms. Three-stage least square analysis was employed to test the model.

Analyses reveal that knowledge learning and organizational capabilities mediate the OI activities-innovation performance relationship. In addition, a firm focussing on inbound activities enhances its radical innovation performance, but hinders its incremental innovation performance, while focussing on outbound activities produces the opposite effects. Among the findings, it is worth emphasizing that the effect of the interaction between inbound and outbound activities on innovation performance can be counter-productive.

The findings demonstrate that existing studies only partially explain the effects of OI activities on innovation performance. Understanding how OI activities influence innovation performance will facilitate more informed decision making, leading to more effective use of OI activities.

The results suggest that managers need to consider knowledge learning and organizational capabilities in order to fully capture the potential effects of OI activities. Managers also need to be aware of the limitations of OI activities.

The theoretical model presented here offers a timely contribution to the theory base underpinning the development of OI activities for innovation performance.

The purpose of this paper is to explore critical success factors of new product development in Taiwan's electronics industry which uses the approach of re‐innovation.

Focus group research was conducted. In total 71 participants from Taiwan's electronics industry were allocated into eight different groups ranging from minimum eight to maximum ten participants in a group.

Suggested critical success factors of re‐innovation include time reduction in development process, cost reduction in product manufacture, products with high levels of customization, relative advantage, or added value, efficiently internal coordination and external cooperation, appropriate product introduction timing, and less aggressive competitors responses.

A main limitation of this study is that the field data were all from Taiwanese‐based companies in certain industries. Generalization could be increased by collecting data from other countries and industries.

Firms using the approach of re‐innovation should take into account various characteristics of different innovation types so as to adjust their approaches of new product development.

The first contribution of this study is to provide information regarding the critical success factors of product re‐innovation in Taiwan's electronics industry. Second, the knowledge of new product development can be added because of an increase in the understanding of re‐innovation in the Asia‐Pacific region which has received much less attention than North America and Europe by innovation researchers.

Convenience and health trends are arguably the two most prevailing consumption trends in the British food market, with single‐adult households as keener followers than many other household types. Two portfolios of food products have been developed as proxies of the twin trends respectively, and the Poisson regression technique is employed to segment these two trend markets. Results confirm some previously held views, challenge others, and make some serendipity that has not been found in previous studies. Marketers are informed of greater accessibility in the health trend market vis‐à‐vis the convenience trend market for segmentation purpose, and are advised to treat the two trend markets as non‐overlapping. A number of future research directions, including a multivariate measure of the aspiration intensity of the two food trends and a measure of the twin trends for a wider range of typical products within the consumer market, are suggested.

This paper presents a theorization and an empirical analysis of the influences of international open innovation (IOI) on the international market success of emerging market small and medium-sized enterprises (ESMEs). An analysis of the moderating roles played by cross-cultural competencies and digital alliance capabilities in this specific context is also presented.

The study adopted a quantitative research design involving a survey of 231 ESMEs based in the UAE. The authors formulated some hypotheses and tested them by employing hierarchical regression models.

The findings revealed that IOI positively affects the international market success of ESMEs. The authors further found that both cross-cultural competencies and digital alliance capabilities moderate the relationship between IOI and international market success.

The study advances the international marketing, knowledge and innovation management literature in two ways. First, it is a pioneering study that advances both the theoretical and empirical scholarship regarding the relationship between IOI and emerging market firm international market success by employing an extended resource-based view. Second, it further highlights the role played by cross-cultural competencies and digital alliance capabilities as effective governance mechanisms that moderate the relationship between IOI and international market success.

Big data and predictive analytics (BDPA) has received great attention in terms of its role in making business decisions. However, current knowledge on BDPA regarding how it might link organizational capabilities and organizational performance (OP) remains unclear. Drawing from the resource-based view, the purpose of this paper is to propose a model to examine how information technology (IT) deployment (i.e. strategic IT flexibility, business–BDPA partnership and business–BDPA alignment) and HR capabilities affect OP through BDPA.

To test the proposed hypotheses, structural equation modeling is applied on survey data collected from 159 Indian firms.

The results show that BDPA diffusion mediates the influence of IT deployment and HR capabilities on OP. In addition, there is a direct effect of IT deployment and HR capabilities on BDPA diffusion, which also has a direct relationship with OP.

Through this study, authors demonstrate that IT deployment and HR capabilities have an indirect impact on OP through BDPA diffusion.

While service scholars have generally supported the idea that service modularity enhances firm performance, the literature offers very little evidence of the actual process through which service modularity continuously contributes to firm performance. The purpose of this paper is to examine the link from a capability perspective: service modularity capabilities-service modularity-new service advantage-firm performance, as well as the moderating role of radical innovation capability in the effect of service modularity on new service advantage.

To examine this link, data were collected from a cross-industry survey of 231 leading service firms. Structural equation modeling and hierarchical moderated regression analyses were employed to test the model.

Analyses reveal that new service advantage mediates the service modularity-firm performance relationship. Moreover, service modularity capabilities act in an important antecedent role to configure service modularity. Among the findings, it is worth emphasizing that radical innovation capability not only strengthens the positive effect of, but also alleviates the negative effect of, service modularity on new service advantage.

This study provides a more complete understanding of how service modularity enhances firm performance by discovering the hidden role of new service advantage that bridges service modularity and firm performance, clarifying the role of service modularity capabilities in configuring service modularity, and confirming the important role of radical innovation capability in sustaining the effectiveness of service modularity.

The adjustment of business managers from Beijing and Shanghai assigned to Hong Kong and of Hong Kong expatriates working in Beijing and Shanghai were compared in an exploratory study. The personal in‐depth interviews showed differences between the managers from the Chinese mainland and those from the Special Administrative Region of Hong Kong. The mainland respondents perceived substantial adjustment needs inside and outside the workplace in Hong Kong, but made earnest efforts and experienced few obstacles. On the other hand, the predicament experienced by many Hong Kong managers on the mainland closely resembles the worst experiences of expatriate managers reported in the literature on international adjustment. The implications of these non‐reciprocal results are discussed, and possible reasons for such findings are speculated upon.

The purpose of this paper is to apply social network analysis (SNA) to study faculty research productivity, to identify key leaders, to study publication keywords and research areas and to visualize international collaboration patterns and analyze collaboration research fields from all Management Information System (MIS) departments in Taiwan from 1982 to 2015.

The authors first retrieved results encompassing about 1,766 MIS professors and their publication records between 1982 and 2015 from the Ministry of Science and Technology of Taiwan (MOST) website. Next, the authors merged these publication records with the records obtained from the Web of Science, Google Scholar, IEEE Xplore, ScienceDirect, Airiti Library and Springer Link databases. The authors further applied six network centrality equations, leadership index, exponential weighted moving average (EWMA), contribution value and k-means clustering algorithms to analyze the collaboration patterns, research productivity and publication patterns. Finally, the authors applied D3.js to visualize the faculty members' international collaborations from all MIS departments in Taiwan.

The authors have first identified important scholars or leaders in the network. The authors also see that most MIS scholars in Taiwan tend to publish their papers in the journals such as Decision Support Systems and Information and Management. The authors have further figured out the significant scholars who have actively collaborated with academics in other countries. Furthermore, the authors have recognized the universities that have frequent collaboration with other international universities. The United States, China, Canada and the United Kingdom are the countries that have the highest numbers of collaborations with Taiwanese academics. Lastly, the keywords model, system and algorithm were the most common terms used in recent years.

This study applied SNA to visualize international research collaboration patterns and has revealed some salient characteristics of international cooperation trends and patterns, leadership networks and influences and research productivity for faculty in Information Management departments in Taiwan from 1982 to 2015. In addition, the authors have discovered the most common keywords used in recent years.

No psychometrically sound measurement scale exists to effectively measure sports team reputation. The current study proposed and developed the Spectator-based Sports Team Reputation (SSTR) by considering the most important stakeholder groups - spectators. The results indicated that SSTR had a positive and direct impact on team identification and trust towards a team. The most significant theoretical contribution of this study is the conceptualisation and development of the SSTR scale, with a multi-dimensional approach from the spectator perspective.